--- layout: documentation title: Malloy Documentation footer: /generated/footers/examples/iowa/step6.html ---

Dashboards

Putting it all together we can write a dashboard

query: vendor_dashboard is {
  group_by: vendor_count is count(distinct vendor_number)
  aggregate: [
    total_sale_dollars
    total_bottles
  ]
  nest: [
    by_month
    by_class
    by_vendor_bar_chart
    top_sellers_by_revenue
    most_expensive_products
    by_vendor_dashboard is {
      top: 10
      group_by: vendor_name
      aggregate: total_sale_dollars
      nest: [ by_month, top_sellers_by_revenue, most_expensive_products ]
    }
  ]
}

Run Dashboard

Simply add some filters. Notice the sub-dashboard for each of the Vendors.

query: iowa { where: category_class = 'VODKAS' } -> vendor_dashboard
QUERY RESULTS
vendor_count
248
total_sale_dollars
755,495,862.37
total_bottles
70,447,619
by_month
201220142016201820202022purchase_month01,000,0002,000,000total_sale_dollars
by_class
0200,000,000400,000,000600,000,000800,000,000total_sale_dollarsVODKAS1,925item_count
by_vendor_bar_chart
020,000,00040,000,00060,000,00080,000,000100,000,000total_sale_dollarsFIFTH GENERATION INCDiageo AmericasPernod Ricard USA/Austin NicholsPhillips Beverage CompanyLuxco-St LouisBacardi U.S.A., Inc.E & J Gallo WineryDIAGEO AMERICASSazerac North AmericaLaird And Company2,000,0004,000,0006,000,000total_bottles
top_sellers_by_revenue
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
FIFTH GENERATION INCTitos Handmade Vodka103,322,665.865,411,1471.896
Luxco-St LouisHawkeye Vodka42,195,474.736,074,1110.655
Pernod Ricard USA/Austin NicholsAbsolut Swedish Vodka 80 Prf30,755,524.141,538,4972.209
Bacardi U.S.A., Inc.Grey Goose Vodka26,177,382.041,119,8443.515
Laird And CompanyFive O'clock Vodka18,572,239.483,115,6800.665
most_expensive_products
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
AMERICAN SPIRITS EXCHANGEE.T.51 Premium Vodka Mini11,481.1267342.72
AMERICAN SPIRITS EXCHANGEE.T. 51 Premium Vodka Mini7,197.1242342.72
Heaven Hill BrandsDeep Eddy Vodka Mini151.22151.2
SAZERAC COMPANY INCPlatinum 7X Vodka Candy Cane3,6458190
Hawaii Sea Spirits LLCOcean Organic Vodka Mini135390
Foundry Distilling Company, LLCOkoboji Vodka Mini4951190
JDSO INC / Red Boot DistilleryBlue Ox Vodka Mini35,01077890
DIAGEO AMERICASCiroc Summer Colada Mini156.48278.24
Diageo AmericasCiroc French Vanilla Mini3,249.458371.554
DIAGEO AMERICASCiroc French Vanilla Mini3,601.89466.369
vendor_name
FIFTH GENERATION INC
total_sale_dollars
109,619,643.86
by_month
201220142016201820202022purchase_month0500,0001,000,000total_sale_dollars
top_sellers_by_revenue
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
FIFTH GENERATION INCTitos Handmade Vodka103,322,665.865,411,1471.896
FIFTH GENERATION INCTitos Vodka4,866,101.4334,6101.93
FIFTH GENERATION INCTitos Handmade Vodka Mini959,23249,43239.535
FIFTH GENERATION INCTitos Handmade Mini471,644.624,6026.33
most_expensive_products
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
FIFTH GENERATION INCTitos Handmade Vodka Mini959,23249,43239.535
FIFTH GENERATION INCTitos Handmade Mini471,644.624,6026.33
FIFTH GENERATION INCTitos Vodka4,866,101.4334,6101.93
FIFTH GENERATION INCTitos Handmade Vodka103,322,665.865,411,1471.896
vendor_name
Diageo Americas
total_sale_dollars
100,830,656.27
by_month
201220142016201820202022purchase_month0200,000400,000total_sale_dollars
top_sellers_by_revenue
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Diageo AmericasSmirnoff Vodka 80 Prf15,838,332.721,400,8871.624
Diageo AmericasSmirnoff 80prf10,474,746.61987,0191.664
Diageo AmericasKetel One Imported Vodka8,996,519.92358,3352.507
Diageo AmericasSmirnoff Vodka 80 Prf Pet6,918,132.59315,9471.25
Diageo AmericasPopov Vodka 80 Prf3,807,769.96460,9190.873
most_expensive_products
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Diageo AmericasCiroc French Vanilla Mini3,249.458371.554
Diageo AmericasSmirnoff Zero Sugar Infusion Strawberry & Rose Mini6,423.3357322.42
Diageo AmericasSmirnoff Red, White & Berry Mini11,658.41,04022.42
Diageo AmericasSmirnoff Zero Sugar Infusion Watermelon & Mint Mini11,669.611,04122.42
Diageo AmericasSmirnoff Pink Lemonade Mini30,087.642,68422.42
Diageo AmericasSmirnoff Peach Lemonade Mini8,407.575022.42
Diageo AmericasSmirnoff Zero Sugar Infusion Cucumber & Lime Mini5,033.2944922.42
Diageo AmericasSmirnoff Sours Berry Lemon Mini205.922419.79
Diageo AmericasSmirnoff Pineapple Mini1,267.0814418.475
Diageo AmericasSmirnoff Green Apple Mini823.689617.16
vendor_name
Pernod Ricard USA/Austin Nichols
total_sale_dollars
58,518,311.7
by_month
201220142016201820202022purchase_month0200,000400,000total_sale_dollars
top_sellers_by_revenue
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Pernod Ricard USA/Austin NicholsAbsolut Swedish Vodka 80 Prf30,755,524.141,538,4972.209
Pernod Ricard USA/Austin NicholsAbsolut Swedish Vodka 80prf8,115,471.56477,0192.029
Pernod Ricard USA/Austin NicholsAbsolut Citron (lemon Vodka)6,039,341.36296,4142.162
Pernod Ricard USA/Austin NicholsAbsolut Mandrin2,117,678.95108,3142.193
Pernod Ricard USA/Austin NicholsAbsolut Citron1,555,722.0981,7932.111
most_expensive_products
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Pernod Ricard USA/Austin NicholsAbsolut Citron Mini118.81219.8
Pernod Ricard USA/Austin NicholsAbsolut Raspberri Mini118.81219.8
Pernod Ricard USA/Austin NicholsAbsolut Swedish Vodka 80prf Mini497,344.3241,86417.348
Pernod Ricard USA/Austin NicholsAbsolut Lime Mini93,959.4610,6538.713
Pernod Ricard USA/Austin NicholsAbsolut Elyx5,035.81803.574
Pernod Ricard USA/Austin NicholsAbsolut Black 100269.88122.999
Pernod Ricard USA/Austin NicholsAbsolut Vodka 100 Premium65,944.032,9772.951
Pernod Ricard USA/Austin NicholsLevel Imported Vodka DNO503.04242.795
Pernod Ricard USA/Austin NicholsAbsolut Mini Trial Pack3,822.316412.393
Pernod Ricard USA/Austin NicholsAbsolut Mini Bar31,381.055,3032.368
vendor_name
Phillips Beverage Company
total_sale_dollars
49,450,874.79
by_month
201220142016201820202022purchase_month0100,000200,000300,000total_sale_dollars
top_sellers_by_revenue
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Phillips Beverage CompanyPhillips Vodka13,982,116.181,684,4560.659
Phillips Beverage CompanyUv Blue (raspberry) Vodka10,210,249.9912,2121.157
Phillips Beverage CompanyUV Vodka PET5,660,874.63354,8620.929
Phillips Beverage CompanyUV Blue Raspberry2,519,743.16216,7871.19
Phillips Beverage CompanyUv Red (cherry) Vodka2,480,612.22228,6161.194
most_expensive_products
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Phillips Beverage CompanyPrairie Organic Apple Pear Ginger FL Vodka Mini200.12913.8
Phillips Beverage CompanyPrairie Organic Grapefruit Hibiscus Chamomile FL Vodka Mini151.82213.8
Phillips Beverage CompanyPrairie Organic Watermelon Cucumber Lime FL Vodka Mini5528013.8
Phillips Beverage CompanyUV Blue Raspberry Mini148,554.321,88410.444
Phillips Beverage CompanyUV Cake Mini82,11912,08610.413
Phillips Beverage CompanyUV Red Cherry Mini38,818.25,72910.238
Phillips Beverage CompanyRow Vodka Mini45,935.28,5368.709
Phillips Beverage CompanyPhillips Vodka Mini1,544.42342.549
Phillips Beverage CompanyUV Peach Mini24,615.183,0082.223
Phillips Beverage CompanyPrairie Organic Grapefruit Hibiscus Chamomile FL Vodka4,1912542.2
vendor_name
Luxco-St Louis
total_sale_dollars
48,777,247.58
by_month
201220142016201820202022purchase_month0100,000200,000total_sale_dollars
top_sellers_by_revenue
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Luxco-St LouisHawkeye Vodka42,195,474.736,074,1110.655
Luxco-St LouisHawkeye Vodka 80 Prf Mini966,669.4165,2761.167
Luxco-St LouisPearl Cucumber Vodka886,605.278,9591.503
Luxco-St LouisHawkeye Vodka PET851,920.44170,0440.668
Luxco-St LouisKorski Vodka849,511.07101,5020.597
most_expensive_products
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Luxco-St LouisPearl Ruby Grapefruit Mini402.66113.2
Luxco-St LouisHawkeye Vodka Mini427,452.868,9449.568
Luxco-St LouisPearl Chocolate Hazelnut1,544.491311.572
Luxco-St LouisPearl Plum8,783.557451.572
Luxco-St LouisPearl Pumpkin Spice3,360.152851.572
Luxco-St LouisPearl Caramel Vodka67,688.965,7441.571
Luxco-St LouisPearl Chocolate Covered Cherry9,414.337991.571
Luxco-St LouisPearl Wedding Cake Vodka31,230.982,6511.571
Luxco-St LouisPearl Wedding Cake Vodk1,696.321441.571
Luxco-St LouisPearl Whipt Vodka989.52841.571
vendor_name
Bacardi U.S.A., Inc.
total_sale_dollars
33,377,101.74
by_month
201220142016201820202022purchase_month050,000100,000150,000200,000total_sale_dollars
top_sellers_by_revenue
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Bacardi U.S.A., Inc.Grey Goose Vodka26,177,382.041,119,8443.515
Bacardi U.S.A., Inc.Grey Goose5,654,244.14269,8933.534
Bacardi U.S.A., Inc.Grey Goose Vodka Mini340,74011,3525
Bacardi U.S.A., Inc.Grey Goose Cherry Noir317,092.511,7983.635
Bacardi U.S.A., Inc.Grey Goose Vodka L'orange178,424.16,5403.633
most_expensive_products
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Bacardi U.S.A., Inc.Grey Goose Essences White Peach & Rosemary Mini1,792.86059.76
Bacardi U.S.A., Inc.Grey Goose Essences Strawberry & Lemongrass Mini2,121.487159.76
Bacardi U.S.A., Inc.Grey Goose Essences Watermelon & Basil Mini1,553.765259.76
Bacardi U.S.A., Inc.Grey Goose Mini120,4504,01546.244
Bacardi U.S.A., Inc.Grey Goose VX39,511.716597.392
Bacardi U.S.A., Inc.Grey Goose La Poire Mini1,050355
Bacardi U.S.A., Inc.Grey Goose Le Citron Mini1,050355
Bacardi U.S.A., Inc.Grey Goose Le Melon Mini2,760925
Bacardi U.S.A., Inc.Grey Goose Multi Pack8,3908395
Bacardi U.S.A., Inc.Grey Goose Vodka Mini340,74011,3525
vendor_name
E & J Gallo Winery
total_sale_dollars
32,856,079.43
by_month
201220142016201820202022purchase_month050,000100,000150,000total_sale_dollars
top_sellers_by_revenue
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
E & J Gallo WineryNew Amsterdam Vodka9,103,964.24895,1721.375
E & J Gallo WineryNew Amsterdam Peach5,589,626.83730,8611.449
E & J Gallo WineryNew Amsterdam 80prf5,420,695.06640,5051.407
E & J Gallo WineryNew Amsterdam Red Berry2,252,851.55294,2741.446
E & J Gallo WineryNew Amsterdam Pink Whitney2,046,979.58191,6781.439
most_expensive_products
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
E & J Gallo WineryNew Amsterdam Apple Mini83110016.62
E & J Gallo WineryNew Amsterdam Gluten Free Mini2,592.7231216.62
E & J Gallo WineryNew Amsterdam Pink Whitney Mini251,323.2834,37414.771
E & J Gallo WineryNew Amsterdam 80prf Mini448,798.1754,00713.853
E & J Gallo WinerySOOH New Amsterdam Mango Mini8,110.5697613.751
E & J Gallo WineryNew Amsterdam Grapefruit Mini44,475.125,35213.439
E & J Gallo WineryNew Amsterdam Pineapple Mini45,356.45,47213.398
E & J Gallo WineryNew Amsterdam Peach Mini104,426.6612,56812.18
E & J Gallo WineryNew Amsterdam Orange Mini9,706.081,1686.446
E & J Gallo WineryNew Amsterdam416,962.72122,9591.831
vendor_name
DIAGEO AMERICAS
total_sale_dollars
31,119,466.59
by_month
2014201620182020purchase_month0200,000400,000total_sale_dollars
top_sellers_by_revenue
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
DIAGEO AMERICASSmirnoff 80prf8,104,948.93767,1491.67
DIAGEO AMERICASSmirnoff 80prf PET3,020,078.37162,2491.417
DIAGEO AMERICASKetel One2,162,203.2796,3832.266
DIAGEO AMERICASSmirnoff PET 80prf2,121,018.62115,4811.413
DIAGEO AMERICASKetel One Imported Vodka1,529,122.2766,3452.372
most_expensive_products
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
DIAGEO AMERICASCiroc Summer Colada Mini156.48278.24
DIAGEO AMERICASCiroc French Vanilla Mini3,601.89466.369
DIAGEO AMERICASSmirnoff Pink Lemonade Mini16,176.031,44322.42
DIAGEO AMERICASSmirnoff Zero Sugar Infusion Cucumber & Lime Mini3,788.9833822.42
DIAGEO AMERICASSmirnoff Zero Sugar Infusion Strawberry & Rose Mini5,111.7645622.42
DIAGEO AMERICASSmirnoff Vanilla Mini269.042422.42
DIAGEO AMERICASSmirnoff Sours Berry Lemon Mini134.521222.42
DIAGEO AMERICASSmirnoff Zero Sugar Infusion Watermelon & Mint Mini6,636.3259222.42
DIAGEO AMERICASKetel One Botanical Peach & Orange Blossom Mini3,029.417020.626
DIAGEO AMERICASSmirnoff Sours Green Apple Mini3723619.79
vendor_name
Sazerac North America
total_sale_dollars
29,172,411
by_month
20122014201620182020purchase_month050,000100,000150,000200,000total_sale_dollars
top_sellers_by_revenue
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Sazerac North AmericaBarton Vodka16,447,240.142,357,0350.614
Sazerac North AmericaSkol Vodka5,452,572.67708,1310.644
Sazerac North AmericaFleischmann's Royal Vodka 80 Prf2,769,771.02265,8440.595
Sazerac North AmericaFleischmann's Royal Vodka1,040,630.84233,4980.651
Sazerac North AmericaCaliber Vodka852,521.08112,3460.63
most_expensive_products
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Sazerac North America99 Vodka Mini270309.75
Sazerac North America99 Raspberry Mini630704.8
Sazerac North AmericaBarton Vodka Mini76,134.2412,9313.185
Sazerac North AmericaNaked Jay Big Dill Vodka1,121.28961.557
Sazerac North America99 Raspberry Vodka Mini90101.5
Sazerac North AmericaWave Baja Mini90101.5
Sazerac North AmericaWave Tiki Vodka Mini90101.5
Sazerac North AmericaWave Chocolate Pretzel Vodka Mini90101.5
Sazerac North AmericaWave Cherry Vodka90101.5
Sazerac North America99 Vodka mini90101.5
vendor_name
Laird And Company
total_sale_dollars
25,775,471.11
by_month
201220142016201820202022purchase_month050,000100,000total_sale_dollars
top_sellers_by_revenue
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Laird And CompanyFive O'clock Vodka18,572,239.483,115,6800.665
Laird And CompanyFive O'Clock Vodka3,934,905.96668,4620.669
Laird And CompanyFive O'clock PET Vodka2,635,248.83521,1140.673
Laird And CompanyFive O'Clock Vodka PET633,076.84125,1140.675
most_expensive_products
vendor_​nameitem_​descriptiontotal_​sale_​dollarstotal_​bottlesavg_​price_​per_​100ml
Laird And CompanyFive O'Clock Vodka PET633,076.84125,1140.675
Laird And CompanyFive O'clock PET Vodka2,635,248.83521,1140.673
Laird And CompanyFive O'Clock Vodka3,934,905.96668,4620.669
Laird And CompanyFive O'clock Vodka18,572,239.483,115,6800.665
[
  {
    "vendor_count": 248,
    "total_sale_dollars": 755495862.3701241,
    "total_bottles": 70447619,
    "by_month": [
      {
        "purchase_month": {
          "value": "2012-01-01"
        },
        "total_sale_dollars": 610057.16
      },
      {
        "purchase_month": {
          "value": "2012-01-08"
        },
        "total_sale_dollars": 802949.41
      },
      {
        "purchase_month": {
          "value": "2012-01-15"
        },
        "total_sale_dollars": 935417.8000000005
      },
      {
        "purchase_month": {
          "value": "2012-01-22"
        },
        "total_sale_dollars": 988698.7400000005
      },
      {
        "purchase_month": {
          "value": "2012-01-29"
        },
        "total_sale_dollars": 938111.7300000002
      },
      {
        "purchase_month": {
          "value": "2012-02-05"
        },
        "total_sale_dollars": 902035.6900000005
      },
      {
        "purchase_month": {
          "value": "2012-02-12"
        },
        "total_sale_dollars": 896318.0400000003
      },
      {
        "purchase_month": {
          "value": "2012-02-19"
        },
        "total_sale_dollars": 980946.7700000005
      },
      {
        "purchase_month": {
          "value": "2012-02-26"
        },
        "total_sale_dollars": 893080.9900000006
      },
      {
        "purchase_month": {
          "value": "2012-03-04"
        },
        "total_sale_dollars": 976248.3900000005
      },
      {
        "purchase_month": {
          "value": "2012-03-11"
        },
        "total_sale_dollars": 1018939.0200000006
      },
      {
        "purchase_month": {
          "value": "2012-03-18"
        },
        "total_sale_dollars": 1007704.9700000007
      },
      {
        "purchase_month": {
          "value": "2012-03-25"
        },
        "total_sale_dollars": 955948.0500000007
      },
      {
        "purchase_month": {
          "value": "2012-04-01"
        },
        "total_sale_dollars": 1152349.6600000006
      },
      {
        "purchase_month": {
          "value": "2012-04-08"
        },
        "total_sale_dollars": 1139967.6000000006
      },
      {
        "purchase_month": {
          "value": "2012-04-15"
        },
        "total_sale_dollars": 1035155.4400000004
      },
      {
        "purchase_month": {
          "value": "2012-04-22"
        },
        "total_sale_dollars": 1067074.1300000004
      },
      {
        "purchase_month": {
          "value": "2012-04-29"
        },
        "total_sale_dollars": 1087894.9100000004
      },
      {
        "purchase_month": {
          "value": "2012-05-06"
        },
        "total_sale_dollars": 1101532.0000000005
      },
      {
        "purchase_month": {
          "value": "2012-05-13"
        },
        "total_sale_dollars": 1096981.2900000005
      },
      {
        "purchase_month": {
          "value": "2012-05-20"
        },
        "total_sale_dollars": 1386355.59
      },
      {
        "purchase_month": {
          "value": "2012-05-27"
        },
        "total_sale_dollars": 863731.4900000002
      },
      {
        "purchase_month": {
          "value": "2012-06-03"
        },
        "total_sale_dollars": 1236165.59
      },
      {
        "purchase_month": {
          "value": "2012-06-10"
        },
        "total_sale_dollars": 1296151.4000000004
      },
      {
        "purchase_month": {
          "value": "2012-06-17"
        },
        "total_sale_dollars": 1182540.4999999998
      },
      {
        "purchase_month": {
          "value": "2012-06-24"
        },
        "total_sale_dollars": 1613062.2999999998
      },
      {
        "purchase_month": {
          "value": "2012-07-01"
        },
        "total_sale_dollars": 1173113.4700000002
      },
      {
        "purchase_month": {
          "value": "2012-07-08"
        },
        "total_sale_dollars": 1132063.4000000004
      },
      {
        "purchase_month": {
          "value": "2012-07-15"
        },
        "total_sale_dollars": 1238239.71
      },
      {
        "purchase_month": {
          "value": "2012-07-22"
        },
        "total_sale_dollars": 1072884.2100000004
      },
      {
        "purchase_month": {
          "value": "2012-07-29"
        },
        "total_sale_dollars": 1214136.0600000003
      },
      {
        "purchase_month": {
          "value": "2012-08-05"
        },
        "total_sale_dollars": 1272308.5300000003
      },
      {
        "purchase_month": {
          "value": "2012-08-12"
        },
        "total_sale_dollars": 1187809.7600000002
      },
      {
        "purchase_month": {
          "value": "2012-08-19"
        },
        "total_sale_dollars": 1141115.1600000004
      },
      {
        "purchase_month": {
          "value": "2012-08-26"
        },
        "total_sale_dollars": 1580034.55
      },
      {
        "purchase_month": {
          "value": "2012-09-02"
        },
        "total_sale_dollars": 968773.63
      },
      {
        "purchase_month": {
          "value": "2012-09-09"
        },
        "total_sale_dollars": 1244709.0400000003
      },
      {
        "purchase_month": {
          "value": "2012-09-16"
        },
        "total_sale_dollars": 990731.3400000002
      },
      {
        "purchase_month": {
          "value": "2012-09-23"
        },
        "total_sale_dollars": 995239.1300000001
      },
      {
        "purchase_month": {
          "value": "2012-09-30"
        },
        "total_sale_dollars": 1577376.0799999996
      },
      {
        "purchase_month": {
          "value": "2012-10-07"
        },
        "total_sale_dollars": 1541959.3999999992
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            "total_sale_dollars": 54702.72
          },
          {
            "purchase_month": {
              "value": "2020-05-24"
            },
            "total_sale_dollars": 48474.95999999999
          },
          {
            "purchase_month": {
              "value": "2020-05-31"
            },
            "total_sale_dollars": 49798.98
          },
          {
            "purchase_month": {
              "value": "2020-06-07"
            },
            "total_sale_dollars": 51488.31999999998
          },
          {
            "purchase_month": {
              "value": "2020-06-14"
            },
            "total_sale_dollars": 53958.639999999985
          },
          {
            "purchase_month": {
              "value": "2020-06-21"
            },
            "total_sale_dollars": 56176.98000000001
          },
          {
            "purchase_month": {
              "value": "2020-06-28"
            },
            "total_sale_dollars": 54286.240000000005
          },
          {
            "purchase_month": {
              "value": "2020-07-05"
            },
            "total_sale_dollars": 38914.46
          },
          {
            "purchase_month": {
              "value": "2020-07-12"
            },
            "total_sale_dollars": 45642.29999999999
          },
          {
            "purchase_month": {
              "value": "2020-07-19"
            },
            "total_sale_dollars": 49551.8
          },
          {
            "purchase_month": {
              "value": "2020-07-26"
            },
            "total_sale_dollars": 47114.840000000004
          },
          {
            "purchase_month": {
              "value": "2020-08-02"
            },
            "total_sale_dollars": 47564.000000000015
          },
          {
            "purchase_month": {
              "value": "2020-08-09"
            },
            "total_sale_dollars": 46220.60000000001
          },
          {
            "purchase_month": {
              "value": "2020-08-16"
            },
            "total_sale_dollars": 55293.48
          },
          {
            "purchase_month": {
              "value": "2020-08-23"
            },
            "total_sale_dollars": 50136.899999999994
          },
          {
            "purchase_month": {
              "value": "2020-08-30"
            },
            "total_sale_dollars": 51128.420000000006
          },
          {
            "purchase_month": {
              "value": "2020-09-06"
            },
            "total_sale_dollars": 40571.98000000001
          },
          {
            "purchase_month": {
              "value": "2020-09-13"
            },
            "total_sale_dollars": 42362.01999999999
          },
          {
            "purchase_month": {
              "value": "2020-09-20"
            },
            "total_sale_dollars": 45484.9
          },
          {
            "purchase_month": {
              "value": "2020-09-27"
            },
            "total_sale_dollars": 44469.659999999996
          },
          {
            "purchase_month": {
              "value": "2020-10-04"
            },
            "total_sale_dollars": 43088.68
          },
          {
            "purchase_month": {
              "value": "2020-10-11"
            },
            "total_sale_dollars": 44744.63999999999
          },
          {
            "purchase_month": {
              "value": "2020-10-18"
            },
            "total_sale_dollars": 39943.49999999999
          },
          {
            "purchase_month": {
              "value": "2020-10-25"
            },
            "total_sale_dollars": 46674.9
          },
          {
            "purchase_month": {
              "value": "2020-11-01"
            },
            "total_sale_dollars": 46956.32
          },
          {
            "purchase_month": {
              "value": "2020-11-08"
            },
            "total_sale_dollars": 42869.32
          },
          {
            "purchase_month": {
              "value": "2020-11-15"
            },
            "total_sale_dollars": 45500.539999999986
          },
          {
            "purchase_month": {
              "value": "2020-11-22"
            },
            "total_sale_dollars": 35963.83999999999
          },
          {
            "purchase_month": {
              "value": "2020-11-29"
            },
            "total_sale_dollars": 7307.939999999999
          },
          {
            "purchase_month": {
              "value": "2021-05-09"
            },
            "total_sale_dollars": 20048.259999999995
          },
          {
            "purchase_month": {
              "value": "2021-05-16"
            },
            "total_sale_dollars": 40183.740000000005
          },
          {
            "purchase_month": {
              "value": "2021-05-23"
            },
            "total_sale_dollars": 43926.95999999999
          },
          {
            "purchase_month": {
              "value": "2021-05-30"
            },
            "total_sale_dollars": 34565.020000000004
          },
          {
            "purchase_month": {
              "value": "2021-06-06"
            },
            "total_sale_dollars": 42673.29999999999
          },
          {
            "purchase_month": {
              "value": "2021-06-13"
            },
            "total_sale_dollars": 42634.86
          },
          {
            "purchase_month": {
              "value": "2021-06-20"
            },
            "total_sale_dollars": 43484.62
          },
          {
            "purchase_month": {
              "value": "2021-06-27"
            },
            "total_sale_dollars": 43724.54000000001
          },
          {
            "purchase_month": {
              "value": "2021-07-04"
            },
            "total_sale_dollars": 38833.579999999994
          },
          {
            "purchase_month": {
              "value": "2021-07-11"
            },
            "total_sale_dollars": 35000.32000000001
          },
          {
            "purchase_month": {
              "value": "2021-07-18"
            },
            "total_sale_dollars": 41121.259999999995
          },
          {
            "purchase_month": {
              "value": "2021-07-25"
            },
            "total_sale_dollars": 36238.38
          },
          {
            "purchase_month": {
              "value": "2021-08-01"
            },
            "total_sale_dollars": 36415.479999999996
          },
          {
            "purchase_month": {
              "value": "2021-08-08"
            },
            "total_sale_dollars": 39893.95999999999
          },
          {
            "purchase_month": {
              "value": "2021-08-15"
            },
            "total_sale_dollars": 40405.759999999995
          },
          {
            "purchase_month": {
              "value": "2021-08-22"
            },
            "total_sale_dollars": 41372.78
          },
          {
            "purchase_month": {
              "value": "2021-08-29"
            },
            "total_sale_dollars": 37864.56
          },
          {
            "purchase_month": {
              "value": "2021-09-05"
            },
            "total_sale_dollars": 37842.12
          },
          {
            "purchase_month": {
              "value": "2021-09-12"
            },
            "total_sale_dollars": 41081.66
          },
          {
            "purchase_month": {
              "value": "2021-09-19"
            },
            "total_sale_dollars": 39846.28
          },
          {
            "purchase_month": {
              "value": "2021-09-26"
            },
            "total_sale_dollars": 29478.86
          },
          {
            "purchase_month": {
              "value": "2021-12-19"
            },
            "total_sale_dollars": 28312.879999999997
          },
          {
            "purchase_month": {
              "value": "2021-12-26"
            },
            "total_sale_dollars": 34393.59999999999
          },
          {
            "purchase_month": {
              "value": "2022-01-02"
            },
            "total_sale_dollars": 29609.06
          },
          {
            "purchase_month": {
              "value": "2022-01-09"
            },
            "total_sale_dollars": 34314.880000000005
          },
          {
            "purchase_month": {
              "value": "2022-01-16"
            },
            "total_sale_dollars": 31981.44
          },
          {
            "purchase_month": {
              "value": "2022-01-23"
            },
            "total_sale_dollars": 37738.7
          },
          {
            "purchase_month": {
              "value": "2022-01-30"
            },
            "total_sale_dollars": 3442.0399999999995
          }
        ],
        "top_sellers_by_revenue": [
          {
            "vendor_name": "Laird And Company",
            "item_description": "Five O'clock Vodka",
            "total_sale_dollars": 18572239.479999132,
            "total_bottles": 3115680,
            "avg_price_per_100ml": 0.6652777444897886
          },
          {
            "vendor_name": "Laird And Company",
            "item_description": "Five O'Clock Vodka",
            "total_sale_dollars": 3934905.9600000423,
            "total_bottles": 668462,
            "avg_price_per_100ml": 0.6691103393843727
          },
          {
            "vendor_name": "Laird And Company",
            "item_description": "Five O'clock PET Vodka",
            "total_sale_dollars": 2635248.830000021,
            "total_bottles": 521114,
            "avg_price_per_100ml": 0.6730428779327725
          },
          {
            "vendor_name": "Laird And Company",
            "item_description": "Five O'Clock Vodka PET",
            "total_sale_dollars": 633076.8399999983,
            "total_bottles": 125114,
            "avg_price_per_100ml": 0.6746666666666666
          }
        ],
        "most_expensive_products": [
          {
            "vendor_name": "Laird And Company",
            "item_description": "Five O'Clock Vodka PET",
            "total_sale_dollars": 633076.8399999985,
            "total_bottles": 125114,
            "avg_price_per_100ml": 0.6746666666666666
          },
          {
            "vendor_name": "Laird And Company",
            "item_description": "Five O'clock PET Vodka",
            "total_sale_dollars": 2635248.8300000215,
            "total_bottles": 521114,
            "avg_price_per_100ml": 0.6730428779327727
          },
          {
            "vendor_name": "Laird And Company",
            "item_description": "Five O'Clock Vodka",
            "total_sale_dollars": 3934905.960000043,
            "total_bottles": 668462,
            "avg_price_per_100ml": 0.6691103393843726
          },
          {
            "vendor_name": "Laird And Company",
            "item_description": "Five O'clock Vodka",
            "total_sale_dollars": 18572239.479999136,
            "total_bottles": 3115680,
            "avg_price_per_100ml": 0.6652777444897887
          }
        ]
      }
    ]
  }
]
WITH __stage0 AS (
  SELECT
    group_set,
    CASE WHEN group_set=0 THEN
      count(distinct iowa.vendor_number)
      END as vendor_count__0,
    CASE WHEN group_set=0 THEN
      SUM(iowa.sale_dollars)
      END as total_sale_dollars__0,
    CASE WHEN group_set=0 THEN
      SUM(iowa.bottles_sold)
      END as total_bottles__0,
    CASE WHEN group_set=1 THEN
      DATE_TRUNC(iowa.date, WEEK)
      END as purchase_month__1,
    CASE WHEN group_set=1 THEN
      SUM(iowa.sale_dollars)
      END as total_sale_dollars__1,
    CASE WHEN group_set=2 THEN
      CASE WHEN REGEXP_CONTAINS(iowa.category_name,r'(WHISK|SCOTCH|BOURBON|RYE)') THEN 'WHISKIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'VODKA') THEN 'VODKAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'RUM') THEN 'RUMS' WHEN REGEXP_CONTAINS(iowa.category_name,r'TEQUILA') THEN 'TEQUILAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'(LIQUE|AMARETTO|TRIPLE SEC)') THEN 'LIQUEURS' WHEN REGEXP_CONTAINS(iowa.category_name,r'BRAND(I|Y)') THEN 'BRANDIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'GIN') THEN 'GINS' WHEN REGEXP_CONTAINS(iowa.category_name,r'SCHNAP') THEN 'SCHNAPPS' ELSE 'OTHER' END
      END as category_class__2,
    CASE WHEN group_set=2 THEN
      SUM(iowa.sale_dollars)
      END as total_sale_dollars__2,
    CASE WHEN group_set=2 THEN
      count(distinct iowa.item_number)
      END as item_count__2,
    CASE WHEN group_set=3 THEN
      iowa.vendor_name
      END as vendor_name__3,
    CASE WHEN group_set=3 THEN
      SUM(iowa.sale_dollars)
      END as total_sale_dollars__3,
    CASE WHEN group_set=3 THEN
      SUM(iowa.bottles_sold)
      END as total_bottles__3,
    CASE WHEN group_set=4 THEN
      iowa.vendor_name
      END as vendor_name__4,
    CASE WHEN group_set=4 THEN
      iowa.item_description
      END as item_description__4,
    CASE WHEN group_set=4 THEN
      SUM(iowa.sale_dollars)
      END as total_sale_dollars__4,
    CASE WHEN group_set=4 THEN
      SUM(iowa.bottles_sold)
      END as total_bottles__4,
    CASE WHEN group_set=4 THEN
      AVG((iowa.state_bottle_retail/(nullif(iowa.bottle_volume_ml,0)))*100)
      END as avg_price_per_100ml__4,
    CASE WHEN group_set=5 THEN
      iowa.vendor_name
      END as vendor_name__5,
    CASE WHEN group_set=5 THEN
      iowa.item_description
      END as item_description__5,
    CASE WHEN group_set=5 THEN
      SUM(iowa.sale_dollars)
      END as total_sale_dollars__5,
    CASE WHEN group_set=5 THEN
      SUM(iowa.bottles_sold)
      END as total_bottles__5,
    CASE WHEN group_set=5 THEN
      AVG((iowa.state_bottle_retail/(nullif(iowa.bottle_volume_ml,0)))*100)
      END as avg_price_per_100ml__5,
    CASE WHEN group_set IN (6,7,8,9) THEN
      iowa.vendor_name
      END as vendor_name__6,
    CASE WHEN group_set=6 THEN
      SUM(iowa.sale_dollars)
      END as total_sale_dollars__6,
    CASE WHEN group_set=7 THEN
      DATE_TRUNC(iowa.date, WEEK)
      END as purchase_month__7,
    CASE WHEN group_set=7 THEN
      SUM(iowa.sale_dollars)
      END as total_sale_dollars__7,
    CASE WHEN group_set=8 THEN
      iowa.vendor_name
      END as vendor_name__8,
    CASE WHEN group_set=8 THEN
      iowa.item_description
      END as item_description__8,
    CASE WHEN group_set=8 THEN
      SUM(iowa.sale_dollars)
      END as total_sale_dollars__8,
    CASE WHEN group_set=8 THEN
      SUM(iowa.bottles_sold)
      END as total_bottles__8,
    CASE WHEN group_set=8 THEN
      AVG((iowa.state_bottle_retail/(nullif(iowa.bottle_volume_ml,0)))*100)
      END as avg_price_per_100ml__8,
    CASE WHEN group_set=9 THEN
      iowa.vendor_name
      END as vendor_name__9,
    CASE WHEN group_set=9 THEN
      iowa.item_description
      END as item_description__9,
    CASE WHEN group_set=9 THEN
      SUM(iowa.sale_dollars)
      END as total_sale_dollars__9,
    CASE WHEN group_set=9 THEN
      SUM(iowa.bottles_sold)
      END as total_bottles__9,
    CASE WHEN group_set=9 THEN
      AVG((iowa.state_bottle_retail/(nullif(iowa.bottle_volume_ml,0)))*100)
      END as avg_price_per_100ml__9
  FROM `malloy-data.iowa_liquor_sales.sales_deduped` as iowa
  CROSS JOIN (SELECT row_number() OVER() -1  group_set FROM UNNEST(GENERATE_ARRAY(0,9,1)))
  WHERE (CASE WHEN REGEXP_CONTAINS(iowa.category_name,r'(WHISK|SCOTCH|BOURBON|RYE)') THEN 'WHISKIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'VODKA') THEN 'VODKAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'RUM') THEN 'RUMS' WHEN REGEXP_CONTAINS(iowa.category_name,r'TEQUILA') THEN 'TEQUILAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'(LIQUE|AMARETTO|TRIPLE SEC)') THEN 'LIQUEURS' WHEN REGEXP_CONTAINS(iowa.category_name,r'BRAND(I|Y)') THEN 'BRANDIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'GIN') THEN 'GINS' WHEN REGEXP_CONTAINS(iowa.category_name,r'SCHNAP') THEN 'SCHNAPPS' ELSE 'OTHER' END='VODKAS')
  AND (CASE WHEN REGEXP_CONTAINS(iowa.category_name,r'(WHISK|SCOTCH|BOURBON|RYE)') THEN 'WHISKIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'VODKA') THEN 'VODKAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'RUM') THEN 'RUMS' WHEN REGEXP_CONTAINS(iowa.category_name,r'TEQUILA') THEN 'TEQUILAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'(LIQUE|AMARETTO|TRIPLE SEC)') THEN 'LIQUEURS' WHEN REGEXP_CONTAINS(iowa.category_name,r'BRAND(I|Y)') THEN 'BRANDIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'GIN') THEN 'GINS' WHEN REGEXP_CONTAINS(iowa.category_name,r'SCHNAP') THEN 'SCHNAPPS' ELSE 'OTHER' END='VODKAS')
  AND ((group_set NOT IN (1) OR (group_set IN (1) AND CASE WHEN REGEXP_CONTAINS(iowa.category_name,r'(WHISK|SCOTCH|BOURBON|RYE)') THEN 'WHISKIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'VODKA') THEN 'VODKAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'RUM') THEN 'RUMS' WHEN REGEXP_CONTAINS(iowa.category_name,r'TEQUILA') THEN 'TEQUILAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'(LIQUE|AMARETTO|TRIPLE SEC)') THEN 'LIQUEURS' WHEN REGEXP_CONTAINS(iowa.category_name,r'BRAND(I|Y)') THEN 'BRANDIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'GIN') THEN 'GINS' WHEN REGEXP_CONTAINS(iowa.category_name,r'SCHNAP') THEN 'SCHNAPPS' ELSE 'OTHER' END='VODKAS')))
  AND ((group_set NOT IN (2) OR (group_set IN (2) AND CASE WHEN REGEXP_CONTAINS(iowa.category_name,r'(WHISK|SCOTCH|BOURBON|RYE)') THEN 'WHISKIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'VODKA') THEN 'VODKAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'RUM') THEN 'RUMS' WHEN REGEXP_CONTAINS(iowa.category_name,r'TEQUILA') THEN 'TEQUILAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'(LIQUE|AMARETTO|TRIPLE SEC)') THEN 'LIQUEURS' WHEN REGEXP_CONTAINS(iowa.category_name,r'BRAND(I|Y)') THEN 'BRANDIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'GIN') THEN 'GINS' WHEN REGEXP_CONTAINS(iowa.category_name,r'SCHNAP') THEN 'SCHNAPPS' ELSE 'OTHER' END='VODKAS')))
  AND ((group_set NOT IN (3) OR (group_set IN (3) AND CASE WHEN REGEXP_CONTAINS(iowa.category_name,r'(WHISK|SCOTCH|BOURBON|RYE)') THEN 'WHISKIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'VODKA') THEN 'VODKAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'RUM') THEN 'RUMS' WHEN REGEXP_CONTAINS(iowa.category_name,r'TEQUILA') THEN 'TEQUILAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'(LIQUE|AMARETTO|TRIPLE SEC)') THEN 'LIQUEURS' WHEN REGEXP_CONTAINS(iowa.category_name,r'BRAND(I|Y)') THEN 'BRANDIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'GIN') THEN 'GINS' WHEN REGEXP_CONTAINS(iowa.category_name,r'SCHNAP') THEN 'SCHNAPPS' ELSE 'OTHER' END='VODKAS')))
  AND ((group_set NOT IN (4) OR (group_set IN (4) AND CASE WHEN REGEXP_CONTAINS(iowa.category_name,r'(WHISK|SCOTCH|BOURBON|RYE)') THEN 'WHISKIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'VODKA') THEN 'VODKAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'RUM') THEN 'RUMS' WHEN REGEXP_CONTAINS(iowa.category_name,r'TEQUILA') THEN 'TEQUILAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'(LIQUE|AMARETTO|TRIPLE SEC)') THEN 'LIQUEURS' WHEN REGEXP_CONTAINS(iowa.category_name,r'BRAND(I|Y)') THEN 'BRANDIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'GIN') THEN 'GINS' WHEN REGEXP_CONTAINS(iowa.category_name,r'SCHNAP') THEN 'SCHNAPPS' ELSE 'OTHER' END='VODKAS')))
  AND ((group_set NOT IN (5) OR (group_set IN (5) AND CASE WHEN REGEXP_CONTAINS(iowa.category_name,r'(WHISK|SCOTCH|BOURBON|RYE)') THEN 'WHISKIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'VODKA') THEN 'VODKAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'RUM') THEN 'RUMS' WHEN REGEXP_CONTAINS(iowa.category_name,r'TEQUILA') THEN 'TEQUILAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'(LIQUE|AMARETTO|TRIPLE SEC)') THEN 'LIQUEURS' WHEN REGEXP_CONTAINS(iowa.category_name,r'BRAND(I|Y)') THEN 'BRANDIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'GIN') THEN 'GINS' WHEN REGEXP_CONTAINS(iowa.category_name,r'SCHNAP') THEN 'SCHNAPPS' ELSE 'OTHER' END='VODKAS')))
  AND ((group_set NOT IN (7) OR (group_set IN (7) AND CASE WHEN REGEXP_CONTAINS(iowa.category_name,r'(WHISK|SCOTCH|BOURBON|RYE)') THEN 'WHISKIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'VODKA') THEN 'VODKAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'RUM') THEN 'RUMS' WHEN REGEXP_CONTAINS(iowa.category_name,r'TEQUILA') THEN 'TEQUILAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'(LIQUE|AMARETTO|TRIPLE SEC)') THEN 'LIQUEURS' WHEN REGEXP_CONTAINS(iowa.category_name,r'BRAND(I|Y)') THEN 'BRANDIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'GIN') THEN 'GINS' WHEN REGEXP_CONTAINS(iowa.category_name,r'SCHNAP') THEN 'SCHNAPPS' ELSE 'OTHER' END='VODKAS')))
  AND ((group_set NOT IN (8) OR (group_set IN (8) AND CASE WHEN REGEXP_CONTAINS(iowa.category_name,r'(WHISK|SCOTCH|BOURBON|RYE)') THEN 'WHISKIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'VODKA') THEN 'VODKAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'RUM') THEN 'RUMS' WHEN REGEXP_CONTAINS(iowa.category_name,r'TEQUILA') THEN 'TEQUILAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'(LIQUE|AMARETTO|TRIPLE SEC)') THEN 'LIQUEURS' WHEN REGEXP_CONTAINS(iowa.category_name,r'BRAND(I|Y)') THEN 'BRANDIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'GIN') THEN 'GINS' WHEN REGEXP_CONTAINS(iowa.category_name,r'SCHNAP') THEN 'SCHNAPPS' ELSE 'OTHER' END='VODKAS')))
  AND ((group_set NOT IN (9) OR (group_set IN (9) AND CASE WHEN REGEXP_CONTAINS(iowa.category_name,r'(WHISK|SCOTCH|BOURBON|RYE)') THEN 'WHISKIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'VODKA') THEN 'VODKAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'RUM') THEN 'RUMS' WHEN REGEXP_CONTAINS(iowa.category_name,r'TEQUILA') THEN 'TEQUILAS' WHEN REGEXP_CONTAINS(iowa.category_name,r'(LIQUE|AMARETTO|TRIPLE SEC)') THEN 'LIQUEURS' WHEN REGEXP_CONTAINS(iowa.category_name,r'BRAND(I|Y)') THEN 'BRANDIES' WHEN REGEXP_CONTAINS(iowa.category_name,r'GIN') THEN 'GINS' WHEN REGEXP_CONTAINS(iowa.category_name,r'SCHNAP') THEN 'SCHNAPPS' ELSE 'OTHER' END='VODKAS')))
  GROUP BY 1,5,7,10,13,14,18,19,23,25,27,28,32,33
)
, __stage1 AS (
  SELECT 
    CASE WHEN group_set=7 THEN 6 WHEN group_set=8 THEN 6 WHEN group_set=9 THEN 6  ELSE group_set END as group_set,
    ANY_VALUE(CASE WHEN group_set=0 THEN vendor_count__0 END) as vendor_count__0,
    ANY_VALUE(CASE WHEN group_set=0 THEN total_sale_dollars__0 END) as total_sale_dollars__0,
    ANY_VALUE(CASE WHEN group_set=0 THEN total_bottles__0 END) as total_bottles__0,
    CASE WHEN group_set=1 THEN
      purchase_month__1
      END as purchase_month__1,
    ANY_VALUE(CASE WHEN group_set=1 THEN total_sale_dollars__1 END) as total_sale_dollars__1,
    CASE WHEN group_set=2 THEN
      category_class__2
      END as category_class__2,
    ANY_VALUE(CASE WHEN group_set=2 THEN total_sale_dollars__2 END) as total_sale_dollars__2,
    ANY_VALUE(CASE WHEN group_set=2 THEN item_count__2 END) as item_count__2,
    CASE WHEN group_set=3 THEN
      vendor_name__3
      END as vendor_name__3,
    ANY_VALUE(CASE WHEN group_set=3 THEN total_sale_dollars__3 END) as total_sale_dollars__3,
    ANY_VALUE(CASE WHEN group_set=3 THEN total_bottles__3 END) as total_bottles__3,
    CASE WHEN group_set=4 THEN
      vendor_name__4
      END as vendor_name__4,
    CASE WHEN group_set=4 THEN
      item_description__4
      END as item_description__4,
    ANY_VALUE(CASE WHEN group_set=4 THEN total_sale_dollars__4 END) as total_sale_dollars__4,
    ANY_VALUE(CASE WHEN group_set=4 THEN total_bottles__4 END) as total_bottles__4,
    ANY_VALUE(CASE WHEN group_set=4 THEN avg_price_per_100ml__4 END) as avg_price_per_100ml__4,
    CASE WHEN group_set=5 THEN
      vendor_name__5
      END as vendor_name__5,
    CASE WHEN group_set=5 THEN
      item_description__5
      END as item_description__5,
    ANY_VALUE(CASE WHEN group_set=5 THEN total_sale_dollars__5 END) as total_sale_dollars__5,
    ANY_VALUE(CASE WHEN group_set=5 THEN total_bottles__5 END) as total_bottles__5,
    ANY_VALUE(CASE WHEN group_set=5 THEN avg_price_per_100ml__5 END) as avg_price_per_100ml__5,
    CASE WHEN group_set IN (6,7,8,9) THEN
      vendor_name__6
      END as vendor_name__6,
    ANY_VALUE(CASE WHEN group_set=6 THEN total_sale_dollars__6 END) as total_sale_dollars__6,
    ARRAY_AGG(CASE WHEN group_set=7 THEN STRUCT(
      purchase_month__7 as purchase_month, 
      total_sale_dollars__7 as total_sale_dollars
      ) END IGNORE NULLS  ORDER BY  purchase_month__7 ASC ) as by_month__6,
    ARRAY_AGG(CASE WHEN group_set=8 THEN STRUCT(
      vendor_name__8 as vendor_name, 
      item_description__8 as item_description, 
      total_sale_dollars__8 as total_sale_dollars, 
      total_bottles__8 as total_bottles, 
      avg_price_per_100ml__8 as avg_price_per_100ml
      ) END IGNORE NULLS  ORDER BY  total_sale_dollars__8 desc  LIMIT 5) as top_sellers_by_revenue__6,
    ARRAY_AGG(CASE WHEN group_set=9 THEN STRUCT(
      vendor_name__9 as vendor_name, 
      item_description__9 as item_description, 
      total_sale_dollars__9 as total_sale_dollars, 
      total_bottles__9 as total_bottles, 
      avg_price_per_100ml__9 as avg_price_per_100ml
      ) END IGNORE NULLS  ORDER BY  avg_price_per_100ml__9 desc  LIMIT 10) as most_expensive_products__6
  FROM __stage0
  GROUP BY 1,5,7,10,13,14,18,19,23
)
SELECT
  ANY_VALUE(CASE WHEN group_set=0 THEN vendor_count__0 END) as vendor_count,
  ANY_VALUE(CASE WHEN group_set=0 THEN total_sale_dollars__0 END) as total_sale_dollars,
  ANY_VALUE(CASE WHEN group_set=0 THEN total_bottles__0 END) as total_bottles,
  ARRAY_AGG(CASE WHEN group_set=1 THEN STRUCT(
    purchase_month__1 as purchase_month, 
    total_sale_dollars__1 as total_sale_dollars
    ) END IGNORE NULLS  ORDER BY  purchase_month__1 ASC ) as by_month,
  ARRAY_AGG(CASE WHEN group_set=2 THEN STRUCT(
    category_class__2 as category_class, 
    total_sale_dollars__2 as total_sale_dollars, 
    item_count__2 as item_count
    ) END IGNORE NULLS  ORDER BY  total_sale_dollars__2 desc  LIMIT 10) as by_class,
  ARRAY_AGG(CASE WHEN group_set=3 THEN STRUCT(
    vendor_name__3 as vendor_name, 
    total_sale_dollars__3 as total_sale_dollars, 
    total_bottles__3 as total_bottles
    ) END IGNORE NULLS  ORDER BY  total_sale_dollars__3 desc  LIMIT 10) as by_vendor_bar_chart,
  ARRAY_AGG(CASE WHEN group_set=4 THEN STRUCT(
    vendor_name__4 as vendor_name, 
    item_description__4 as item_description, 
    total_sale_dollars__4 as total_sale_dollars, 
    total_bottles__4 as total_bottles, 
    avg_price_per_100ml__4 as avg_price_per_100ml
    ) END IGNORE NULLS  ORDER BY  total_sale_dollars__4 desc  LIMIT 5) as top_sellers_by_revenue,
  ARRAY_AGG(CASE WHEN group_set=5 THEN STRUCT(
    vendor_name__5 as vendor_name, 
    item_description__5 as item_description, 
    total_sale_dollars__5 as total_sale_dollars, 
    total_bottles__5 as total_bottles, 
    avg_price_per_100ml__5 as avg_price_per_100ml
    ) END IGNORE NULLS  ORDER BY  avg_price_per_100ml__5 desc  LIMIT 10) as most_expensive_products,
  ARRAY_AGG(CASE WHEN group_set=6 THEN STRUCT(
    vendor_name__6 as vendor_name, 
    total_sale_dollars__6 as total_sale_dollars, 
    by_month__6 as by_month, 
    top_sellers_by_revenue__6 as top_sellers_by_revenue, 
    most_expensive_products__6 as most_expensive_products
    ) END IGNORE NULLS  ORDER BY  total_sale_dollars__6 desc  LIMIT 10) as by_vendor_dashboard
FROM __stage1
ORDER BY 1 desc